Data Engineer II , UTR Data Engineering
Core
Design and own logical/physical data models, build AI-powered configuration-driven frameworks, and optimize ETL pipelines for Amazon's labor planning systems.
Role type
Senior Data Engineer (AI-native infrastructure)
Builds
Reusable data frameworks, AI agent tooling, and ETL pipelines for labor planning
Domain
Logistics / Data Engineering / AI
Deliverable
production ML models | product features | infrastructure
Required skills
Data modeling, ETL/ELT, SQL, AWS Redshift, AWS Glue, AWS EMR, AWS Lambda, Airflow, Python, Oracle
Preferred skills
Non-relational databases, AWS Kinesis, AWS FireHose, AWS IAM
Technologies
AWS Redshift, AWS S3, AWS Glue, AWS EMR, AWS Lambda, AWS Athena, Airflow, MWAA, MCP
Responsibilities
Design logical and physical data models for major datasets; Build and optimize ETL pipelines using AWS services; Design configuration-driven data frameworks; Build AI agent tooling and MCP-based interfaces; Own ongoing data quality and implement data contracts; Mentor engineers and interns; Participate in recruitment.
Seniority
Senior, hands-on IC
